Fuzzy Rule-Based Inference
Advances and Applications in Reasoning with Approximate Knowledge Interpolation
Chapter
Pattern-matching-based approximate reasoning methods (e.g. CRI) can be effective and efficient when applicable, while FRI methods work well when facing incomplete knowledge bases. To maximise the benefits of b...
Chapter
This final chapter concludes the book. Firstly, it provides a summary of the topics presented in the preceding chapters, including an emphasis on the recent advances in approximate knowledge interpolative reas...
Chapter
In conventional fuzzy inference systems, the if-then rules available are typically represented in a flat form without differing the importance levels amongst the antecedent attributes, and therefore, all attribut...
Chapter
As exhibited previously, the weights of individual rule antecedent attributes can be computed through a reverse engineering procedure applied to the given fuzzy rule base. As such, the unrealistic assumption t...
Chapter
Attributes of weighted fuzzy rule interpolation (FRI) techniques have seen successful applications over a wide range of applications, as demonstrated in the preceding chapters, covering tasks such as pattern r...
Chapter
Fuzzy set theory (Zadeh (Inf Control 8(3):338–353, 1965)) and fuzzy logic have gained rapid developments in a variety of scientific disciplines, including mathematics, engineering, and computer science. They a...
Chapter
Unlike classical rule-based inference that performs direct pattern matching between observations and the given rules, fuzzy rule interpolation (FRI) supports approximate reasoning with sparse rule bases where ...
Book
Advances and Applications in Reasoning with Approximate Knowledge Interpolation
Chapter
Many computational techniques have been established to perform approximate reasoning, including the popular compositional rule of inference (CRI) [15], approximate analogical reasoning schema (AARS) [11, 12], and...
Chapter
Fuzzy interpolative reasoning plays an important role in fuzzy rule-based inference systems, facilitating the extension of the capability of approximate reasoning when dealing with incomplete knowledge. This i...
Article
Approximate reasoning systems facilitate fuzzy inference through activating fuzzy if–then rules in which attribute values are imprecisely described. Fuzzy rule interpolation (FRI) supports such reasoning with ...
Chapter and Conference Paper
As an integrated network, wireless sensor networks can connect the logic information world with the real physical world by performing information sensing, gathering, processing and delivering. There are divers...
Chapter and Conference Paper
Underwater wireless sensor networks nodes deployment optimization problem is studied and underwater wireless sensor nodes deployment determines its capability and lifetime. If no underwater wireless sensor nod...
Chapter and Conference Paper
Underwater wireless sensor networks nodes deployment optimization problem is studied and underwater wireless sensor nodes deployment determines its capability and lifetime. If no underwater wireless sensor nod...
Chapter and Conference Paper
Underwater wireless sensor networks (UWSNs) applications for ocean monitoring, deep sea surveillance, and locating natural resources are gaining popularity. To monitor the underwater environment or any object ...